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writing-cybernetic-execution-policies
Use when an existing v1 control chain requires plan.control.json execution policy artifacts.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Use when an existing v1 control chain requires plan.control.json execution policy artifacts.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Use when a formed task needs durable human-approved meaning, completion obligations, evidence claims, non-goals, or live/destructive authority boundaries.
Use when maintaining or resuming an existing v1 requirements.control.json run; new runs use forming-cybernetic-commitments.
Use when an existing v1 run must compile its reviewed control chain into runtime.control.json.
Use when optional local workflow guidance or legacy v1 workflow compatibility needs diagnosis.
Use when an existing v1 control chain requires design.control.json; v2 strategies remain agent-owned.
Use when cybernetic routing is requested but user input is pre-task intent or role-ambiguous context: confusion, dissatisfaction, risk sense, observed symptoms, failed attempts, method preference, process distrust, source material, declared current state, or unclear requested transformation.
| name | writing-cybernetic-execution-policies |
| description | Use when an existing v1 control chain requires plan.control.json execution policy artifacts. |
Legacy v1 compatibility only. V2 execution strategy is agent-owned and may be revised without human approval.
Create the execution strategy for controlled work.
This skill consumes requirements, any required design, and goal.control.json.
It does not analyze requirements, design the solution, review its own policy,
compile runtime, or execute target work.
Use assets/execution-policy-template.md.
Detailed rules live in:
references/execution-policy-detailed-rules.mdreferences/batch-cadence.mdreferences/evidence-check-governance.mdUse completed requirements.control.json and goal.control.json, plus
design.control.json when required design was required or a design artifact
exists.
For controlled_run, do not create an execution policy unless
What the User Approved is Approved or the current user message explicitly
approves the compact control commitment.
For controlled_run with requirements schema 1.1.0+, also require
approved_control.information_sufficiency_check to be satisfied or reviewed
not_required, with run-local evidence_ref values and approved independent
counterexample_review. If this is absent or unfinished, route to
RunInformationSufficiencyCheck.
When strategy_policy is reviewed_replanning, the policy may describe a
current-generation strategy. It must separate hard anchors from strategy details
that may change by reviewed amendment.
Follow $cybernetic-workflow-infrastructure.
For non-trivial execution policies, use $cybernetic-planning-workflow or load its
instructions. If that workflow is unavailable, stop and report the missing
planning infrastructure.
The execution policy must include:
Choose one:
Main-onlySerial subagent-drivenParallel subagent-drivenRecord selected agent workflow, subagent execution mode, and maximum concurrent
subagents. Use .agents/skills/references/delegation-workflow-registry.json
for workflow capability limits.
Default:
ordinary_direct_work and bounded_runtime: usually Main-only, unless
wide inspection/audit/verification needs serial delegation.controlled_run: use Serial subagent-driven unless Main-only has a
context-load justification.For each blocking required step, state:
required step -> producing action -> mainline work package -> evidence after action
If the target requires implementation, measurement, repair, diagnosis, or decision, do not make the mainline package only inspect, summarize, classify, or compare existing evidence.
Omit required_tests by default. Do not prescribe test quantity, test order,
TDD, or red-green development. Tests are optional; retain them only under the
criteria in references/execution-policy-detailed-rules.md. Counterexample Gate
remains the semantic quality entry, and regression capture is optional.
Use references/batch-cadence.md and
references/evidence-check-governance.md.
Choose batches large enough to make coherent progress and small enough to be diagnosable. Keep evidence checks proportional to work. Store summary/delta evidence when raw evidence would dominate execution.
Output or update:
docs/cybernetics/runs/<slug>/plan.control.json
Response-only summary:
Created or updated execution policy:
`docs/cybernetics/runs/YYYY-MM-DD-slug/plan.control.json`
Status:
- `candidate` / `blocked`
Work assignment:
- ...
Mainline work packages:
- ...
Response-only next step:
- return to `$orchestrating-cybernetic-pregoal`; include `允许使用 subagent 执行 review。`, or
- if manual fallback is being used, run `$reviewing-cybernetic-control-structures`.
Do not write runtime /goal prompts or conversational next-step prompts into
the policy artifact.
required_tests.